Qihang Yu
Qihang Yu
在 jhu.edu 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Recurrent saliency transformation network: Incorporating multi-stage visual cues for small organ segmentation
Q Yu, L Xie, Y Wang, Y Zhou, EK Fishman, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2018
742018
Application of deep learning to pancreatic cancer detection: Lessons learned from our initial experience
LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ...
Journal of the American College of Radiology 16 (9), 1338-1342, 2019
132019
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
Q Yu, D Yang, H Roth, Y Bai, Y Zhang, AL Yuille, D Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Neural Architecture Search for Lightweight Non-Local Networks
Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
62020
Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Q Yu, Y Xia, L Xie, EK Fishman, AL Yuille
arXiv preprint arXiv:1904.01150, 2019
32019
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
Q Yu, Y Li, J Mei, Y Zhou, AL Yuille
arXiv preprint arXiv:2003.12798, 2020
12020
When Radiology Report Generation Meets Knowledge Graph
Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu
arXiv preprint arXiv:2002.08277, 2020
12020
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Y Xia, Q Yu, W Shen, Y Zhou, AL Yuille
arXiv preprint arXiv:2003.08441, 2020
2020
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans
L Xie, Q Yu, Y Zhou, Y Wang, EK Fishman, AL Yuille
IEEE transactions on medical imaging 39 (2), 514-525, 2019
2019
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans
Y Zhou, Q Yu, Y Wang, L Xie, W Shen, EK Fishman, AL Yuille
Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019
2019
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